QNLI, namely, Question Natural Language Inference
is a dataset [1]} derived from the Stanford Question Answering Dataset (SQuAD) [2]} by converting question-paragraph pairs into sentence pairs, resulting in dataset with 105k question-answer pairs for training and 5.4k pairs in the dev. data.
We carry out experiments of using QNLI for the transfer step in TandA and compare it with previous methods [3]}, which are based on QNLI for sequential fine-tuning of non-Transformer models for AS2.
